Chao-Wen Lu

723 citations
10 papers · 560 · h-index 5

Impact in

Papers in

Chao-Wen Lu

9 papers receiving 504 citations

Peers

Chao-Wen Lu
Comparison fields: 5 of 58
  • Statistics, Probability and Uncertainty 513
  • Statistics and Probability 327
  • Medical Laboratory Technology 38
  • Control and Systems Engineering 134
  • Management Science and Operations Research 30
Replace Sandile Charles Shongwe with:
Sandile Charles Shongwe South Africa
Giovanna Capizzi Italy
L. Allison Jones United States
Mu’azu Ramat Abujiya Saudi Arabia
Frank B. Alt United States
Xiaolong Pu China
Dongdong Xiang China
D. T. Shirke India
Anan Tang China
Yupaporn Areepong Thailand
Chao-Wen Lu relative to Sandile Charles Shongwe South Africa Sandile Charles Shongwe's profile →
Citations per field
00.5×8.7×
Sandile Charles Shongwe · 1×
Citations per year

Countries citing papers authored by Chao-Wen Lu

Since Specialization
Citations

This map shows the geographic impact of Chao-Wen Lu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chao-Wen Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Wen Lu more than expected).

Fields of papers citing papers by Chao-Wen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Wen Lu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chao-Wen Lu. The network helps show where Chao-Wen Lu may publish in the future.

Co-authors

The 18 scholars most cited alongside Chao-Wen Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chao-Wen Lu Line = papers co-authored together Chao-Wen Lu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1999243
2 1999159
3 2001120
4 199728
5 20244
6 20252
7 20242
8 20241
9 20241
10 20240

About Chao-Wen Lu

Chao-Wen Lu is a scholar working on Statistics, Probability and Uncertainty, Pulmonary and Respiratory Medicine, Statistics and Probability, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 560 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (4 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Advanced Statistical Methods and Models (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Trauma Management and Diagnosis (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (513 citations), Statistics and Probability (327 citations), Medical Laboratory Technology (38 citations), Control and Systems Engineering (134 citations) and Management Science and Operations Research (30 citations). Chao-Wen Lu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Marion R. Reynolds, Min‐Shu Hsieh, Chung‐Ming Chen, Mong‐Wei Lin, Jin‐Shing Chen, Li-Wei Chen, Hsao‐Hsun Hsu, Chin Chen, Ke-Cheng Chen and Yu-Hsuan Lin. Their work appears in journals such as Journal of Quality Technology, Cancers, Annals of Surgical Oncology, World Journal of Emergency Surgery and Nonlinear Analysis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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